ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Data Science Dojo

JULY 24, 2023

Different algorithms and techniques are employed to achieve eventual consistency. Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control. They use redundancy and replication to ensure data availability.

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

Pickl AI

DECEMBER 2, 2024

For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JULY 29, 2024

Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets. Organisations that require low-latency data analysis may find Hadoop insufficient for their needs.

Hadoop 52

Hadoop Clustering Big Data Big Data 52